RosneT: A Block Tensor Algebra Library for Out-of-Core Quantum Computing Simulation
| Autor: | Sergio Sanchez-Ramirez, Javier Conejero, Francesc Lordan, Anna Queralt, Toni Cortes, Rosa M Badia, Artur Garcia-Saez |
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| Přispěvatelé: | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació, Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors, Barcelona Supercomputing Center, Universitat Politècnica de Catalunya. inSSIDE - integrated Software, Service, Information and Data Engineering, Universitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions |
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
FOS: Computer and information sciences
G.4 Quantum Physics J.2 Tensor network Ordinadors quàntics Quantum computers FOS: Physical sciences Quantum computing Supercomputers Distributed computing Task-based programming Out-of-core COMPSs Supercomputadors Computer Science - Distributed Parallel and Cluster Computing 81-04 HPC Distributed Parallel and Cluster Computing (cs.DC) High performance computing Quantum Physics (quant-ph) Càlcul intensiu (Informàtica) Informàtica::Arquitectura de computadors [Àrees temàtiques de la UPC] Simulation |
| Zdroj: | UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) |
| Popis: | With the advent of more powerful Quantum Computers, the need for larger Quantum Simulations has boosted. As the amount of resources grows exponentially with size of the target system Tensor Networks emerge as an optimal framework with which we represent Quantum States in tensor factorizations. As the extent of a tensor network increases, so does the size of intermediate tensors requiring HPC tools for their manipulation. Simulations of medium-sized circuits cannot fit on local memory, and solutions for distributed contraction of tensors are scarce. In this work we present RosneT, a library for distributed, out-of-core block tensor algebra. We use the PyCOMPSs programming model to transform tensor operations into a collection of tasks handled by the COMPSs runtime, targeting executions in existing and upcoming Exascale supercomputers. We report results validating our approach showing good scalability in simulations of Quantum circuits of up to 53 qubits. 8 pages, 13 figures |
| Databáze: | OpenAIRE |
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